scholarly journals Body Morphometrics in NAFLD Population

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Harkeerat Dhami ◽  
Niharika Samala
Keyword(s):  
Lean Body Mass ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Percent Body Fat ◽  
Composition Analysis ◽  
Processed Meat ◽  
Body Fat Mass ◽  
High Sodium ◽  
Obstructive Sleep

Introduction: NAFLD is one of the common causes of liver disease in the US and is commonly associated with metabolic syndrome. Among obese, prevalence of NAFLD is 7090%. We wanted to determine body morphometrics in NAFLD. Methods: All individuals presenting to Indiana University Hospital with NAFLD were approached to participate in cross-sectional study. All participants were offered beverage, diet (REAP) questionnaires and body composition analysis using InBody 570, which utilizes bioelectrical impedance. Results: Of the 321 NAFLD individuals enrolled, 256 completed body morphometric analysis. Mean age of the cohort was 51.58 ± 13.54, 58% were female, 297 White and had a mean BMI of 35.92. 76% were obese, 48% had type 2 diabetes, 49.2% had hypertension, 38.6% had dyslipidemia, and 20.5% had obstructive sleep apnea. Despite having similar BMI, females had lower lean body mass (51.01 vs 70.51) and skeletal muscle mass (28.05 vs 39.70), higher body fat mass (46.71 vs 41.04) and percent body fat (46.59 vs. 35.7). Regular coffee consumers had lower BMI (35.3 vs 38, p=0.038), but lower body fat mass (39.9 vs 46.2, p=0.01), percent body fat (41.1 vs 44.4, p=0.05) and higher lean body mass % (58.8 vs 55.5, p=0.049). Processed meat consumption was associated with higher BMI (39 vs 35.3, P=0.01), percent body fat (45.5 vs 42, p=0.04), and lower lean body mass percentage (54.5 vs 58.2, P=0.04). Similar trends were seen with consumption of high sodium processed foods and watching television for ≥ 2 hours/day. Conclusion: Among individuals with NAFLD, we saw a higher female preponderance, who were found to have unfavorable body morphometrics despite similar BMI as males. Consumption of high sodium processed food and meat and excess screen time have unfavorable, while regular coffee drinkers have favorable body morphometrics, which offer modifiable measures for risk factors associated with NAFLD.

scholarly journals Body composition analysis in female ballet dancers

2003 ◽  
Vol 56 (11-12) ◽  
pp. 579-583 ◽  
Author(s):  
Bojan Mihajlovic ◽  
Sasa Mijatov ◽  
Biljana Srdic ◽  
Edita Stokic
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Normal Weight ◽  
Control Group ◽  
Composition Analysis ◽  
Study Group ◽  
Body Fat Mass ◽  
Ballet Dancers

Introduction The aim of this study was to evaluate and compare the nutritional status and body composition in female ballet dancers and a group of non-athletic female controls. Materials and methods The study group consisted of 30 female ballet dancers, aged 17.4?2.01, whereas the control group included 30 non-athletic female examinees, aged 18.00 years on average. Height and weight were measured and body mass index (BMI) was calculated in all subjects. Body composition was estimated using the bioelectrical impedance method. Results Body composition analysis of ballet dancers revealed significantly lower values of body fat mass compared to the control group (18.85?4.50% vs. 23.41?4.34). Most examinees in both groups were of normal weight. 50% of ballet dancers and 23.33% of examinees in the control group were underweight, while overweight subjects were registered only in the control group. Most underweight ballet dancers had lower body fat mass, whereas majority of underweight examinees in the control group presented with normal body fat mass. Normal-weight obesity was established in 40.91% candidates in the control and 6.67% in the study group. Conclusion Ballet dancers had significantly lower values of body mass and BMI, compared to the study group. In order to prevent very serious complications caused by changes in size and proportion of some body compartments, it is necessary to carry out assessment of body composition more often in high-risk groups, such as the study group of ballet dancers.

Female boxers have high bone mineral density despite low body fat mass, high energy expenditure, and a high incidence of oligomenorrhea

2008 ◽  
Vol 33 (5) ◽  
pp. 863-869 ◽  
Author(s):  
Barbara Trutschnigg ◽  
Chin Chong ◽  
Lucia Habermayerova ◽  
Antony D. Karelis ◽  
Joanna Komorowski
Keyword(s):  
Bone Mineral Density ◽  
Energy Expenditure ◽  
Lean Body Mass ◽  
Body Mass ◽  
Body Fat ◽  
Bone Mineral ◽  
Fat Mass ◽  
Body Fat Mass ◽  
Mineral Density ◽  
Menstrual Status

Low body fat mass and menstrual irregularities have been associated with low bone mineral density (BMD). The aim of this study was to compare the relation between BMD, lean body mass, fat mass, physical activity energy expenditure (PAEE), and menstrual status in female boxers and in physically active females with low (C1) or average (C2) fat mass. Boxers (n = 11) and controls (C1, n = 16; C2, n = 17), aged 18–38 years, were assessed for BMD and body composition with dual-energy X-ray absorptiometry. Menstrual status and PAEE were determined from questionnaires. There was no difference in anthropometric measurements between boxers and C1 subjects, except that boxers had higher arm lean mass. However, both boxers and C1 subjects had a lower percentage of fat (p < 0.001) than C2 subjects (boxers, 14.6% ± 2.0; C1, 15.5% ± 4.2; C2, 25.8% ± 3.4%), and boxers had a higher (p = 0.002) lean body mass index (lean body mass/height2, where lean body mass is measured in kilograms and height is measured in metres) than C2 subjects. The PAEE of boxers was higher (p < 0.007) than that of controls (boxers, 5748 ± 2284 ; C1, 2966 ± 2258 ; C2, 2714 ± 1722 kcal·week–1). Oligomenorrhea was more common in boxers than in C1 and C2 subjects (boxers, 54.6%; C1, 18.8%; C2, 35.3%). Arm, leg, and spine BMD were higher (p < 0.008) in boxers than in C1 subjects, and arm BMD was higher in boxers than in C2 subjects. BMD Z scores were also higher (p < 0.05) in boxers (boxers, 1.1± 0.8, C1, 0.1 ± 0.7; C2: 0.3 ± 1.1). High BMD in boxers, despite low fat mass, high PAEE, and an increased incidence of oligomenorrhea suggest that boxing has a positive effect on BMD.

scholarly journals Corn Peptide Ingestion with Exercise Attenuate Body Fat Mass and Enhance Lean Body Mass in obese rats

2013 ◽  
Vol 27 (S1) ◽  
Author(s):  
Shujie Lou ◽  
Rengfei Shi ◽  
Ru Wang ◽  
Xiaohui Wang ◽  
Leiting Xu
Keyword(s):  
Lean Body Mass ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Body Fat Mass ◽  
Obese Rats

scholarly journals An assesment on the basal metabolic rate according to chosen variablesBazal metabolizma hizinin seçilmiş değişkenlere göre değerlendirilmesi

2018 ◽  
Vol 15 (4) ◽  
pp. 1914 ◽  
Author(s):  
H. Bayram Temur
Keyword(s):  
Body Weight ◽  
Lean Body Mass ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Body Fat Mass ◽  
One Way Anova

The purpose of this study was to investigate the relationship between basal metabolic rate (BMR), gender, height, body weight, age, body fat mass, lean body mass, right and left leg soft lean mass in 8-13-year old. A total of 98 people were included in the study, of which 66 were female and 32 were male. Subjects, ages, height lengths, body weights were determined. In addition, BMR, body fat mass (BFM), lean body mass (LBM), and right and left leg soft fat mass (SFM) values of the subjects were determined by Bioelectrical Impedance Analysis (BIA). The statistical analysis of the data was based on the independent sample t test for the comparison of the two groups of data and the one-way ANOVA for the analysis of the groups with more than two samples. As a result of the analysis, changes in some selected variables of Basal Metabolism Rate of the participants were observed and a statistically significant result was determined. As a result, it can be said that BMH is faster in males than females and increases with age. It was also observed that the increase in height, body weight, body fat mass, lean body mass, right and left leg soft lean mass affects BMR positively.Extended English summary is in the end of Full Text PDF (TURKISH) file.ÖzetBu çalışmayla, 8 - 13 yaş arası bireylerde bazal metabolizma hızının(BMH), cinsiyet, boy, vücut ağırlığı, yaş, vücut yağ kütlesi, yağsız vücut kütlesi, sağ ve sol bacak yumuşak yağsız kütle ile ilişkisinin incelenmesi amaçlanmıştır. Araştırmaya 66’sı kadın, 32'si erkek olmak üzere toplam 98 kişi dahil edildi. Deneklerin, yaşları, boy uzunlukları, vücut ağırlıkları belirlendi. Ayrıca deneklerin BMH, Vücut yağ kütlesi (VYK), yağsız vücut kütlesi (YVK) ve sağ ve sol bacak yumuşak yağsız kütle (YYK) değerleri Bioelectrical Impedance Analysis (BIA) cihazı ile saptandı. Verilerin istatistiksel analizin de iki grup olan verilerin karşılaştırılmasında indepentend sample t testi, ikiden fazla olan grupların analizinde ise One-way ANOVA kullanıldı. Analiz sonucunda katılımcıların Bazal Metabolizma Hızının Seçilmiş bazı değişkenler üzerinde değişiklikler görülmüş olup istatiksel olarak anlamlı bir sonuç tespit edilmiştir (p<0,05). Sonuç olarak, BMH' nın erkeklerde kadınlardan daha hızlı olduğunu, yaş ilerledikçe arttığı söylenebilir. Ayrıca boy uzunluğu, vücut ağırlığı, vücut yağ kütlesi, yağsız vücut kütlesi, sağ ve sol bacak yumuşak yağsız kütlesindeki artışın BMH'yi olumlu yönde etkilediği görüldü.

scholarly journals High percent body fat mass predicts lower risk of cardiac events in patients with heart failure: an explanation of the obesity paradox

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Katsuhiko Ohori ◽  
Toshiyuki Yano ◽  
Satoshi Katano ◽  
Hidemichi Kouzu ◽  
Suguru Honma ◽  
...  
Keyword(s):  
Heart Failure ◽  
Body Fat ◽  
Fat Mass ◽  
Cardiac Event ◽  
Muscle Wasting ◽  
Obesity Paradox ◽  
Percent Body Fat ◽  
Body Fat Mass ◽  
Cardiac Events ◽  
Kaplan Meier

Abstract Background Although high body mass index (BMI) is a risk factor of heart failure (HF), HF patients with a higher BMI had a lower mortality rate than that in HF patients with normal or lower BMI, a phenomenon that has been termed the “obesity paradox”. However, the relationship between body composition, i.e., fat or muscle mass, and clinical outcome in HF remains unclear. Methods We retrospectively analyzed data for 198 consecutive HF patients (76 years of age; males, 49%). Patients who were admitted to our institute for diagnosis and management of HF and received a dual-energy X-ray absorptiometry scan were included regardless of left ventricular ejection fraction (LVEF) categories. Muscle wasting was defined as appendicular skeletal muscle mass index < 7.0 kg/m2 in males and < 5.4 kg/m2 in females. Increased percent body fat mass (increased FM) was defined as percent body fat > 25% in males and > 30% in females. Results The median age of the patients was 76 years (interquartile range [IQR], 67–82 years) and 49% of them were male. The median LVEF was 47% (IQR, 33–63%) and 33% of the patients had heart failure with reduced ejection fraction. Increased FM and muscle wasting were observed in 58 and 67% of the enrolled patients, respectively. During a 180-day follow-up period, 32 patients (16%) had cardiac events defined as cardiac death or readmission by worsening HF or arrhythmia. Kaplan-Meier survival curves showed that patients with increased FM had a lower cardiac event rate than did patients without increased FM (11.4% vs. 22.6%, p = 0.03). Kaplan-Meier curves of cardiac event rates did not differ between patients with and those without muscle wasting (16.5% vs. 15.4%, p = 0.93). In multivariate Cox regression analyses, increased FM was independently associated with lower cardiac event rates (hazard ratio: 0.45, 95% confidence interval: 0.22–0.93) after adjustment for age, sex, diabetes, muscle wasting, and renal function. Conclusions High percent body fat mass is associated with lower risk of short-term cardiac events in HF patients.

Comparison of the Effect of Soy protein and Whey protein on Body Composition: A Meta-Analysis of Randomized Clinical Trials

2021 ◽  
pp. 1-27
Author(s):  
Masoome Piri Damaghi ◽  
Atieh Mirzababaei ◽  
Sajjad Moradi ◽  
Elnaz Daneshzad ◽  
Atefeh Tavakoli ◽  
...  
Keyword(s):  
Body Composition ◽  
Whey Protein ◽  
Lean Body Mass ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Soy Protein ◽  
Protein Supplementation ◽  
Body Fat Percentage ◽  
Fat Percentage

Abstract Background: Essential amino acids (EAAs) promote the process of regulating muscle synthesis. Thus, whey protein that contains higher amounts of EAA can have a considerable effect on modifying muscle synthesis. However, there is insufficient evidence regarding the effect of soy and whey protein supplementation on body composition. Thus, we sought to perform a meta-analysis of published Randomized Clinical Trials that examined the effect of whey protein supplementation and soy protein supplementation on body composition (lean body mass, fat mass, body mass and body fat percentage) in adults. Methods: We searched PubMed, Scopus, and Google Scholar, up to August 2020, for all relevant published articles assessing soy protein supplementation and whey protein supplementation on body composition parameters. We included all Randomized Clinical Trials that investigated the effect of whey protein supplementation and soy protein supplementation on body composition in adults. Pooled means and standard deviations (SD) were calculated using random-effects models. Subgroup analysis was applied to discern possible sources of heterogeneity. Results: After excluding non-relevant articles, 10 studies, with 596 participants, remained in this study. We found a significant increase in lean body mass after whey protein supplementation weighted mean difference (WMD: 0.91; 95% CI: 0.15, 1.67. P= 0.019). Subgroup analysis, for whey protein, indicated that there was a significant increase in lean body mass in individuals concomitant to exercise (WMD: 1.24; 95% CI: 0.47, 2.00; P= 0.001). There was a significant increase in lean body mass in individuals who received 12 or less weeks of whey protein (WMD: 1.91; 95% CI: 1.18, 2.63; P<0.0001). We observed no significant change between whey protein supplementation and body mass, fat mass, and body fat percentage. We found no significant change between soy protein supplementation and lean body mass, body mass, fat mass, and body fat percentage. Subgroup analysis for soy protein indicated there was a significant increase in lean body mass in individuals who supplemented for 12 or less weeks with soy protein (WMD: 1.48; 95% CI: 1.07, 1.89; P< 0.0001). Conclusion: Whey protein supplementation significantly improved body composition via increases in lean body mass, without influencing fat mass, body mass, and body fat percentage.

Prevalence of obesity using the body mass index and equivalent age- and sex-specific thresholds for percentage body fat mass

2013 ◽  
Vol 7 ◽  
pp. e93
Author(s):  
Julie A. Pasco ◽  
Haslinda Gould ◽  
Kara L. Holloway ◽  
Amelia G. Dobbins ◽  
Mark A. Kotowicz ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
The Body ◽  
Body Fat Mass ◽  
Percentage Body Fat ◽  
Equivalent Age ◽  
Prevalence Of Obesity ◽  
Age And Sex
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